جست‌وجوی استاد و پژوهشگر

Paul Bradshawمشاهده پروفایل

دانشیار

• Data Journalism
• Investigative Journalism
• Online Journalism
• +۶ مورد دیگر

Paul Bradshaw is an Associate Professor at Birmingham City University, leading the MA in Data Journalism program while serving as a consultant data journalist for the BBC England data unit. He founded the pioneering crowdsourcing platform Help Me Investigate, which pioneered collaborative investigative techniques in journalism. His research focuses on data journalism , digital news production , and investigative innovation , with emphasis on data visualization, source protection, and mobile-first storytelling. Bradshaw's work bridges academic theory and industry practice, developing frameworks like the 'Model for the 21st Century Newsroom' adopted globally for newsroom operations and journalism education. Analysis of his recent publications reveals critical trends in ethical data communication during crises (e.g., pandemic uncertainty reporting), evolving security challenges for journalists post-Snowden, and the integration of social media into core news production workflows. His scholarship consistently addresses the practical implementation of data-driven techniques across diverse media environments. Awards and Recognition Shortlisted for Multimedia Publisher of the Year (2010) Talk About Local Investigation of the Year Award (2010) CNN MultiChoice African Journalist Award for Nigerian football agents investigation (2016) BBC England Data Journalism Award for housing discrimination reporting (2017) Bradshaw mentors students through the MA in Data Journalism program while providing consultancy to major media organizations including Sky, Trinity Mirror, The Telegraph, and the Balkan Investigative Reporters Network. His training programs focus on practical implementation of data scraping, social media analysis, and investigative techniques for newsrooms worldwide. He leads the Help Me Investigate platform as a living laboratory for crowdsourced journalism and collaborates with the BBC England data unit on high-impact investigations. His current work explores the intersection of AI tools, ethical data practices, and evolving business models in digital journalism.

• Film History
• Rhetoric and Judgment
• Material Culture
• +۳ مورد دیگر

Saul Kutnicki is a Senior Lecturer in the Department of English at North Central College. He specializes in film & screen studies, writing, and material culture of cinema. His research examines the intersection of cinema history, live television, and American shopping malls. Kutnicki holds a Ph.D. from Indiana University-Bloomington, where he was recognized as a Jesse Fine Fellow. He has published in journals such as Western Journal of Communication and Rhetoric Society Quarterly, and recently contributed a video essay to Screenworks (2024). Education: Ph.D./M.A. Indiana University-Bloomington; B.A. Transylvania University; Certificate in Library and Information Technology. Research focuses on cinema's material artifacts—film stocks, theaters, promotional materials—and their cultural significance. His current project explores the cultural history of movies alongside live TV broadcasts and shopping malls. Selected Awards: Jesse Fine Fellow (Poynter Center for Ethics in American Institutions). Teaching: Courses include Film 100, Film 490, MWRT 500, and ENG 110. Professional experience includes film preservation, theater projection, and library exhibit curation.

Stefan Fiolمشاهده پروفایل

استاد

• Ethnomusicology
• Himalayan Studies
• Cultural Anthropology
• +۶ مورد دیگر

Stefan Fiol is Professor of Ethnomusicology and Affiliated Faculty in Asian Studies at the University of Cincinnati's College-Conservatory of Music (CCM), where he joined the faculty in 2010. His academic home spans both music and area studies, reflecting his interdisciplinary approach to South Asian cultural production. Dr. Fiol received his Ph.D. in Musicology from the University of Illinois at Urbana-Champaign in 2008 after conducting extensive ethnomusicological research in India, with additional fieldwork in Chile, Paraguay, and Zimbabwe. His educational journey reflects deep engagement with both Western academic traditions and global musical practices. Fiol's research spans multiple interconnected domains: the music, dance, and ritual practices of the Uttarakhand Himalayas and North India; the histories of commercial and folkloric cultural representation; drumming as a historiographic tool; and the emerging field of music and mindfulness for cognitive health. His work consistently examines how musical practices intersect with social mobility, historical memory, and cultural representation. A trained classical pianist, Fiol also actively performs on the Indian sitar, Zimbabwean mbira dzavadzimu, and various central Himalayan instruments, embodying his commitment to both scholarly and practical musical knowledge. Analysis of Fiol's publication record reveals a consistent trajectory from early work on folk music commercialization and media representation toward increasingly sophisticated examinations of music's relationship to history, memory, and social structures. His recent scholarship demonstrates growing engagement with critical methodologies, including examinations of power dynamics in fieldwork and the intersections of music with cognitive science. Association for Nepal and Himalayan Studies Jim Fisher Book Award (Honorable Mention) for Recasting Folk in the Himalayas 2008 Nicholas Temperley Award for Excellence in a Dissertation in Musicology Fiol has secured substantial research funding from prestigious sources including Fulbright-Nehru, Wenner-Gren Foundation, American Institute of Indian Studies, National Endowment for the Humanities, and various University of Cincinnati research programs. His current work includes a service learning course that pairs music and medical students with individuals experiencing neurodegeneration, reflecting his commitment to applied research with tangible community impact. While specific advisees aren't listed in the available materials, his graduate seminars suggest active mentorship in specialized areas of ethnomusicology. As both scholar and performer, Fiol bridges academic research with practical musical engagement, maintaining active connections to the musical communities he studies while contributing to broader theoretical conversations in ethnomusicology and South Asian studies.

Anne-Marie Kermarrecمشاهده پروفایل

پژوهشگر

• Gossip-based networking
• P2P systems
• Social Networks
• +۶ مورد دیگر

Anne-Marie Kermarrec is a Senior Researcher at INRIA (France), with prior roles at Microsoft Research (UK) and the University of Rennes 1 (France). Her work focuses on decentralized systems, including gossip protocols, peer-to-peer networks, social networks, and collaborative filtering. PhD in Computer Science (Rennes, 1996) Her research spans epidemic algorithms, content-based search in large-scale networks, and scalable group communication. She pioneered gossip-based peer sampling and multicast infrastructures like Scribe and SplitStream. Her publications highlight applications in decentralized news recommendation (AllYours), network coding, and privacy-preserving social platforms (Gossple). Key article trends include gossip protocols , P2P systems , social network analysis , decentralized storage , and collaborative filtering . She received the Michel Monpetit Award (2011), ERC Starting Grant (GOSSPLE, 2008-2013), and an ICDCS Best Paper Award (2010). Michel Monpetit Award (2011) ERC PoC AllYours (2013) ERC Starting Grant GOSSPLE (2008-2013) ICDCS Best Paper Award (2010) Kermarrec led program committees for major conferences (e.g., EuroSys, Middleware) and chaired the ACM Software System Award. Her software contributions include AllYours (news recommender), GossipLib (gossip library), and GossipPeer (P2P platform maintenance).

Ben Hougeمشاهده پروفایل

استاد

• Music Technology
• Video Game Audio
• Interactive Music
• +۷ مورد دیگر

Ben Houge is a Professor in the Electronic Production and Design (EPD) department at Berklee College of Music, where he has been teaching music technology since 2011. He also serves as a Senior Audio Lead at Bungie and previously held key audio roles at Sierra and Ubisoft. His work spans academia, game audio, digital art, and immersive multisensory experiences. Bachelor of Arts in Music, St. Olaf College (1996) Houge’s research and artistic practice focus on the intersection of music, technology, and sensory experience. He is best known for his food operas —multisensory dining events that use real-time, interactive soundtracks delivered via mobile devices. These projects apply video game audio techniques to everyday experiences, exploring cross-modal correspondences between taste and sound. His work often involves algorithmic composition, audience participation, and interdisciplinary collaboration with chefs, scientists, and musicians. His recent creative output includes large-scale installations and performances such as Night Rain , On the Sensations of Beer , and Mugaritz XX , which blend real-time audio, mobile technology, and cultural narratives. His publications and performances reflect a strong trend in interactive music systems , site-specific sound design , and audience-engaged art , often drawing from historical, poetic, and scientific sources. Selected awards and recognitions include: Faculty-Led Innovations in Education (FLY) Grant (2019) Berklee Newbury Comics Faculty Fellowship (2017) Knight Foundation Grant (2015) Artist Residency at MIT (2011) Shortlist, Guggenheim YouTube Play Biennial (2010) Stranger Genius Award (2004) Houge lectures widely at institutions such as MIT, Harvard, and the Shanghai Conservatory, and at major conferences including GDC, ICMC, and TEDx. He has advised and mentored students through academic and project-based learning, particularly in the areas of audio programming and interactive media. His work has been supported by grants from the Knight Foundation and Berklee, enabling large-scale public and collaborative art projects. He is actively involved in the global digital art and game audio communities, with exhibitions and performances across North America, Europe, and Asia. He has led initiatives such as the Vox Festival and the launch of Berklee’s master’s program in Valencia, Spain. His labs and creative teams often involve collaborations with ensembles like Zeitgeist, institutions like the Boston Symphony Orchestra, and research groups such as Oxford’s Crossmodal Research Laboratory.

• Natural Language Processing
• Automatic Text Summarization
• Sentence Generation
• +۵ مورد دیگر

Juan-Manuel Torres Moreno is an Associate Professor (Maître de Conférences HDR HC) at the University of Avignon (UAPV), where he conducts research in Natural Language Processing at the Laboratoire Informatique d'Avignon (LIA). His academic position includes the HDR (Habilitation à Diriger des Recherches), a post-doctoral qualification in France that enables supervision of PhD students. His primary research interests focus on Natural Language Processing, with particular emphasis on automatic text summarization, sentence generation, and phrase compression algorithms. His work spans both theoretical and applied aspects of NLP, incorporating machine learning techniques and artificial intelligence approaches. His research has significant applications in multilingual processing, text mining, and information extraction systems. Torres Moreno's publication record demonstrates a consistent trajectory in advancing text summarization techniques, with recent work exploring cross-lingual approaches, multimedia content processing, and deep learning applications. His research often bridges the gap between theoretical linguistic concepts and practical implementation, with publications spanning from fundamental NLP algorithms to applied systems for video summarization, speech processing, and multilingual document analysis. He actively collaborates with researchers across multiple institutions including École Polytechnique de Montréal (with 50 joint publications), Laboratoire Informatique d'Avignon (83 publications), and Universidad Nacional Autónoma de México. His work appears in reputable journals such as Computer Speech and Language, Data and Knowledge Engineering, and Pattern Recognition Letters. Within the Laboratoire Informatique d'Avignon, Torres Moreno contributes to the Language Processing research theme, working with colleagues on projects related to multilingual information access, opinion mining, and text analysis. His research group has participated in several evaluation campaigns including DEFT (Défi Fouille de Textes) challenges, focusing on information retrieval and sentiment analysis tasks.

Emily M. Buehlerمشاهده پروفایل

استادیار

• Supportive Communication
• Computer-Mediated Communication
• Interpersonal Communication
• +۲ مورد دیگر

Emily M. Buehler is an Assistant Professor of Interpersonal Communication and Social Media in the Brian Lamb School of Communication at Purdue University, where she has been faculty since Fall 2019. She is a core member of the Purdue Steps to Leaps Research Collaborative, translating research on social support into student well-being initiatives. Her work bridges interpersonal communication theory with digital media practices. Dr. Buehler's academic journey includes: Ph.D. in Interpersonal Communication and Relationships from the University of Iowa (2018) M.A. in Communication from Wake Forest University (2014) B.A. in English from Ohio Northern University (2007) Prior to Purdue, she served as an assistant teaching professor at Penn State University. Her research centers on how personal and social media transform supportive communication dynamics, examining anonymity, visibility, channel publicness, and relational factors in online support exchanges. She investigates how technology both enables and constrains effective social support provision and reception across contexts from grief to chronic illness management. Her approach integrates communication interdependence theory with computer-mediated communication frameworks to reveal nuanced technological affordances. Analysis of her 13 publications (2017-2025) reveals consistent focus on support-seeking message design across platforms, particularly Facebook and emerging social technologies. Key trends include the impact of channel characteristics on message sophistication, the role of gratitude in support reception, and how norm violations affect online help-seeking. Her work spans health communication, family dynamics, and online dating contexts, consistently published in top-tier journals like Communication Monographs and Journal of Social and Personal Relationships. Dr. Buehler has received significant recognition for her teaching excellence: Purdue’s College of Liberal Arts Outstanding Undergraduate Teacher (2023) As an advisor, she mentors graduate students in interpersonal and computer-mediated communication research, emphasizing goal-setting and intellectual independence. She actively advises Purdue's Association for Women in Communication and has volunteered over 15 years with HOBY leadership programs for high school students, guiding youth in community problem-solving. Her teaching portfolio includes undergraduate courses on interpersonal communication and graduate seminars on relationships and technology. Through the Purdue Steps to Leaps Research Collaborative, she applies her findings to develop campus-wide well-being initiatives, directly connecting her scholarship to student support systems in the digital age.

Jiang Kanمشاهده پروفایل

مدرس

• Computer Science
• Artificial Intelligence
• Sports Analytics
• +۴ مورد دیگر

Jiang Kan is a Lecturer at the Department of Computer Science, National University of Singapore. He earned his Ph.D. in Computer Science from NUS in 2023, following an MComp (2017) and B.Sc. (1994) from NUS and Shanghai Jiao Tong University respectively. His teaching portfolio includes courses like Introduction to Computing , Introduction to Programming , Database Systems and Management , and Systems Programming . Education: Ph.D., Computer Science, National University of Singapore, 2023 M.Comp., National University of Singapore, 2017 B.Sc., Shanghai Jiao Tong University, 1994 Research Focus: Jiang Kan specializes in sports analytics, integrating computer vision and probabilistic modeling to analyze sports strategies, player dynamics, and broadcasting data. His work includes tennis and soccer strategy analysis , event recognition in sports videos , and injury prediction models . Publication Trends: Recent articles (2023-2025) explore hybrid approaches combining deep learning with probabilistic model checking for sports analytics. Key contributions include automated court detection , fine-grained event analysis , and dynamic team strategy modeling in tennis and soccer. Teaching: He teaches foundational and advanced courses in programming, computer organization, software engineering, and databases to both full-time and part-time students.

Simon S.Y. Shimمشاهده پروفایل

استاد

• Internet Computing
• Database Management
• Machine Learning
• +۳ مورد دیگر

Simon S.Y. Shim is a Professor in the Computer Engineering Department at San Jose State University (SJSU). He holds a PhD in Computer Science from the University of Minnesota (1997). His research focuses on Internet Computing, Database Management, Machine Learning, and Information Retrieval. He has extensive industry experience as a Director at SAP Labs, working on in-memory database systems. Shim has served on the editorial board of IEEE Computer, including a 5-year tenure as Area Editor for Internet Computing. He has guest-edited special issues on High-Speed Security (2004), CAP Theorem (2012), and Next-Gen Memory (2013). He co-authored one technical book and holds multiple patents. His professional contributions include organizing IEEE Data Engineering workshops, IEEE Mobile Commerce, and IEEE Electronic Commerce events. Shim has published over 50 peer-reviewed articles and actively participates in academic service roles. His work emphasizes interdisciplinary applications of computer science in e-commerce, distributed systems, and multimedia technologies.

Jaime Llorcaمشاهده پروفایل

استاد پژوهشی

• Network Algorithms
• Network Optimization
• Distributed Control
• +۵ مورد دیگر

Jaime Llorca is a Research Professor at the New York University (NYU) Tandon School of Engineering's Electrical and Computer Engineering Department. He holds affiliations with NYU WIRELESS, a research center focused on 6G and beyond. His work bridges network algorithms, optimization, and distributed control with applications in edge computing, cloud networks, and content delivery. Prior roles include Senior Research Scientist at Nokia Bell Labs and positions at Alcatel-Lucent Bell Labs and the University of Maryland's Center for Networking of Infrastructure Sensors. Education: M.S. and Ph.D. in Electrical and Computer Engineering from the University of Maryland, College Park (MD). Research Focus: Llorca pioneers advancements in network-coded caching, distributed cloud control, and edge-cloud integration. Notable contributions include 'cache-aided coded multicasting' and 'cloud-network flow' frameworks. His work addresses latency constraints, resource allocation, and service orchestration in next-generation networks. Key Achievements: Over 100 peer-reviewed publications and 20 patents. Awarded the 2007 IEEE Sensors Best Paper Award, 2016 IEEE ICC Best Paper Award, and the 2015 Jimmy H.C. Lin Award for Innovation. Co-developed foundational technologies for content delivery and distributed cloud networks. Advising & Grants: Advises on distributed computing networks and edge-cloud systems. His research is supported by grants focused on 6G, network optimization, and IoT integration. Collaborates closely with NYU WIRELESS on projects like the Vineyard Digital Twin initiative leveraging UAV imaging. Labs & Teams: Active member of NYU WIRELESS, advancing 6G, mmWave/terahertz networks, and cross-layer network programmability. Leads teams exploring morphable networks and end-to-end service orchestration.

Ali C. Begenمشاهده پروفایل

استاد

• Multimedia Networking
• Adaptive Streaming
• Low-Latency Live Streaming
• +۷ مورد دیگر

Ali C. Begen is a Professor in the Computer Science Department at Ozyegin University in Istanbul, Turkey. He is also the founder of Networked Media , a technology consultancy specializing in IP video solutions. Prior to academia, he was a Technical Lead at Cisco in San Jose, California, and has over 40 US patents in media transport protocols. Education: PhD in Electrical and Computer Engineering (Georgia Tech, 2006); BSc in Electrical Engineering (Bilkent University, 2001) Professional Recognition: Emmy® Award for Technology and Engineering (2022); ACM SIGMM Test of Time Paper Award (2022); SVTA Fellow (2023); IEEE Distinguished Lecturer (2016-2018) Research Focus: Begen’s work bridges low-latency live streaming , media-over-QUIC transport (MOQ) , and adaptive streaming protocols (DASH, WebRTC) . His recent research explores unifying real-time communication and content delivery under a single protocol to reduce complexity and improve scalability. Publications: Recent articles analyze bandwidth prediction , QUIC prioritization , and cross-protocol collaboration , reflecting a trend toward data-driven, network-aware media delivery systems. Honors: Emmy® Award (2022) ACM SIGMM Test of Time (2022) IEEE Distinguished Lecturer (2016, re-elected 2018) SVTA Fellow (2023) Royal Society Newton Fellowship (2019) Advising & Collaborations: Begen has served on thesis committees for over 15 PhD/MS students at institutions like Ozyegin University, University of Klagenfurt, and Koc University. He actively contributes to standards bodies (IEEE, ACM) and industry consortia like the Streaming Video Technology Alliance.

Kenny Barleeمشاهده پروفایل

پژوهشگر ارشد

• Software Defined Radio
• Dynamic Spectrum Access
• Digital Signal Processing
• +۱۰ مورد دیگر

Kenny Barlee is a Research Fellow in the Department of Electronic and Electrical Engineering at the University of Strathclyde, where he conducts research in the Software Defined Radio Laboratory. His work is centered on software-defined radio, cognitive radio, dynamic spectrum access, and rural 5G network deployment. He played a key role in the 5G RuralFirst project, contributing to the development of one of the UK’s first rural 5G networks in Orkney, Shropshire, and Somerset. PhD in Electronic and Electrical Engineering, University of Strathclyde (2020) BEng (Hons) in Electrical and Electronic Engineering, University of Strathclyde (2014) His research focuses on enabling affordable mobile connectivity in rural areas through shared and licensed spectrum, neutral hosting, and SDR technologies. He has developed cognitive radios using MATLAB and Simulink deployed on ZynqSDR devices, with applications in secondary user access to the FM radio band. His work in 5G RuralFirst involved full-stack network design, from SIM cards to core networks, including RF planning, basestation programming, and bespoke security solutions. The recent publications highlight advancements in private 5G for broadcast, low-latency wireless production, and SDR system control on RFSoC platforms. These works reflect a strong trend toward practical, deployable solutions in broadcast engineering, rural connectivity, and FPGA-based SDR prototyping. Kenny Barlee has co-authored a free 670-page SDR textbook, Software Defined Radio using MATLAB & Simulink and the RTL-SDR , and has contributed to multiple peer-reviewed journals and conferences. His industrial experience includes an internship at MathWorks and teaching SDR courses at UCLA. He leads the development of innovative systems such as the "PiFi" modem kits for drones and tour buses and a portable popup 5G network trailer for RF trials. His work supports UN Sustainable Development Goals, particularly in education and infrastructure development.

John Schulzمشاهده پروفایل

استاد

• e-Learning
• Video-based learning
• Online learning
• +۲ مورد دیگر

John Schulz is a Professor of Digital Education at the University of Southampton, affiliated with the School of Education. He is a global authority on Video-Based Learning, having developed one of the university’s first fully online MSc programs in Education. Since 2023, he has served as Academic Lead for the strategic Southampton Online project, which supports schools and facilities in creating online courses. He established and directs the School of Education’s Digital Media Studio (since 2010), a state-of-the-art facility with multi-cam recording, podcasting, and live broadcasting capabilities. His collaborations span institutions like Kazan Federal University (Russia) and Universidade Federal de Minas Gerais (Brazil), focusing on e-learning innovation. Education: PhD from Griffith University (Australia), 2003 BA (Hons) in a relevant field with first-class honours Assoc Dip Bio (Associate Diploma in Biology?) His research bridges social psychology with digital education, emphasizing how individuals use platforms like YouTube for learning. He investigates video optimization for educational environments, blending theoretical and practical approaches to create scalable learning solutions. Recent Contributions: His work spans blended MOOC frameworks, video pedagogy evolution, critical thinking assessment in online forums, and regional educational policies. Earlier studies explore leisure theory in social psychology, video grammar for education, and metrics for online learning activity. Advising: He mentors PhD students such as Sana Abdul Ghani, Fawzeya Alkhamis, Karla Guedes, Jia Wang, and Dian Wahyuningsih. His outreach extends to global educational communities, disseminating research through high-impact YouTube series on research methods. Labs & Teams: The Digital Media Studio he founded supports online teaching and course development, reflecting his commitment to advancing educational technology infrastructure.

Carlos Moralesمشاهده پروفایل

دانشیار

• Game-based Learning
• Interactive Educational Technology
• Digital Video Production
• +۴ مورد دیگر

Carlos Morales serves as Associate Professor at Purdue University's Polytechnic Institute, specializing in digital video, animation, and interactive technology for visual training solutions. His research focuses on game-based learning applications in chemistry education and innovative distance learning systems, with significant contributions to educational technology through interdisciplinary collaboration. His primary research domains include: Game-based Learning for STEM education Interactive Educational Technology development Digital Video Production for distance learning Animation Technology pipelines Mobile Learning Applications design Chemistry Education Technology integration Dr. Morales' publication record (2002-2007) demonstrates consistent innovation in chemistry video games and mobile learning solutions, featuring multiple collaborative projects with chemistry educators. His work bridges engineering design and educational theory to create validated tools that enhance student engagement through visual realism and sustained interactivity. As Principal Investigator and Co-PI, he has secured substantial research funding including: National Science Foundation: $539,999 for "Effective Distance Learning Through Sustained Interactivity and Visual Realism" (2003-2006) National Science Foundation: $200,000 for "Game-based Learning in Chemistry" (2003-2006) ITaP MIDC: $15,000 for "Development of Mobile Games for Chemistry" (2006-2007) Discovery Learning Center: $20,000 for Chemistry Video Game Development (2006-2007)

Markus Grossمشاهده پروفایل

استاد

• Artificial Intelligence
• Machine Learning
• Computer Graphics
• +۸ مورد دیگر

Markus Gross is a Professor of Computer Science at ETH Zurich, where he founded the Computer Graphics Laboratory in 1994. He also serves as the Chief Scientist of the Walt Disney Studios and Director of DisneyResearch|Studios, a position he has held since 2008. His work bridges academia and industry, with research that has been applied in Hollywood films, sports broadcasting, and medical applications. Professor Gross received his Master of Science in electrical and computer engineering and his Ph.D. in computer graphics and image analysis from Saarland University in Germany in 1986 and 1989. His research spans multiple domains of computer graphics and visual computing. Early in his career, he pioneered point-based graphics techniques that offered alternatives to traditional triangle-based rendering pipelines. More recently, his work has focused on digital humans, AI characters, and machine learning applications for visual computing. His research has led to significant practical applications, including the Medusa capture system used in Hollywood films, the blue-c immersive telepresence system, and the Liberovision technology now used by major sports broadcasters. Analysis of his recent publications reveals a strong focus on neural rendering techniques, particularly around Gaussian splatting and diffusion models. His work increasingly integrates AI with traditional computer graphics methods, with applications in digital humans, medical visualization, and video processing. Many papers demonstrate practical applications in film production, medical treatment planning, and interactive systems. Professor Gross has received numerous prestigious awards throughout his career: 2024 Eurographics Gold Medal 2021 Steven Anson Coons Award for outstanding creative contributions to computer graphics 2019 Technical Achievement Award from the Academy of Motion Picture Arts and Sciences 2013 Karl Heinz Beckurts-Preis 2013 Konrad-Zuse-Medaille für Informatik 2013 Technical Achievement Award from the Academy of Motion Picture Arts and Sciences 2012 Academy Sci-Tech Oscar award for Wavelet Turbulence Professor Gross has mentored numerous Ph.D. students throughout his career, with 20 Ph.D. students contributing to his blue-c project alone. His research has been supported by significant funding from both academic and industry sources, enabling the creation of multiple startups including Cyfex, Novodex, LiberoVision, Dybuster, and Animatico (acquired by Nvidia in 2022). He leads the Computer Graphics Laboratory at ETH Zurich and DisneyResearch|Studios, fostering collaboration between academic research and practical industry applications. His teams have developed groundbreaking technologies that have impacted film production, sports broadcasting, medical visualization, and educational technology.